Hidden Markov Models with Applications in Computational Biology: Model Extensions and Advanced Analysis of DNA Microarray Data - Couverture souple

Seifert, Michael

 
9783838136042: Hidden Markov Models with Applications in Computational Biology: Model Extensions and Advanced Analysis of DNA Microarray Data
Couverture souple
ISBN 10 : 3838136047 ISBN 13 : 9783838136042
Editeur : Sudwestdeutscher Verlag Fur Hochschulschriften AG, 2013

Synopsis

Standard first-order Hidden Markov Models (HMMs) are very popular tools for the analysis of sequential data in applied sciences. HMMs are versatile and structurally simple models enabling probabilistic modeling based on a sound theoretical grounding. In contrast to the broad usage of first-order HMMs, applications of higher-order HMMs are very rare, but they have been proven to be powerful extensions of first-order HMMs including applications in speech recognition, image segmentation or computational biology. This book provides the first easily accessible and comprehensive extension of the algorithmic basics of first-order HMMs to higher-order HMMs coupled with practical applications in computational biology. The book starts with a theoretical part developing the algorithmic basics of higher-order HMMs and two novel model extensions (i) parsimonious higher-order HMMs and (ii) HMMs with scaled transition matrices. The second part considers applications of these models to the analysis of different DNA microarray data sets followed by a detailed discussion. The book addresses readers having basic knowledge on first-order HMMs interested to gain more insights on higher-order HMMs.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

studied bioinformatics and received his doctoral degree from the Martin Luther University Halle-Wittenberg in 2010. He worked on plant computational biology and machine learning at the IPK Gatersleben and the IBENS Paris. Since May 2012, Michael Seifert is developing computational methods for cancer genomics at the BIOTEC TU Dresden.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Sudwestdeutscher Verlag Fur Hochschulschriften AG
Date d'édition
2013
Langue
anglais
ISBN 10 
3838136047
ISBN 13 
9783838136042
Reliure
Broché
Nombre de pages
184
Coordonnées du fabricant
non disponible
Personne responsable
non disponible